{"id":"W2900784622","doi":"10.1093/geroni/igy031.3594","title":"MIGRATION OF U.S. AND CANADA RETIREES TO LATIN AMERICAN COLONIAL CITIES: LESSONS LEARNED","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Colonialism; Feeling; Government (linguistics); Latin Americans; Grandparent; Estate; Real estate; Economic growth; Political science; Demographic economics; Geography; Sociology; Psychology; Economics; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002835169,0.0003702279,0.0003960463,0.001181688,0.006799316,0.003827433,0.001772983,0.0009009264,0.003086234],"category_scores_gemma":[0.00660476,0.000218039,0.0003709486,0.003022863,0.002252283,0.002114695,0.00205058,0.001921764,0.0002665066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02047203,"about_ca_system_score_gemma":0.08027945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780326,"about_ca_topic_score_gemma":0.9914836,"domain_scores_codex":[0.9987345,0.0002701502,0.00004395242,0.00009974873,0.0002114897,0.0006401529],"domain_scores_gemma":[0.9959387,0.0007157315,0.0002244401,0.0001014869,0.001751996,0.001267728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001842167,0.0003275247,0.3632822,0.001273965,0.00007867906,0.002195074,0.2264282,0.0003673778,0.0003819409,0.003626259,0.05362034,0.3482342],"study_design_scores_gemma":[0.00001789225,0.00006555539,0.2328697,0.00253546,0.00006860443,0.0001904492,0.7036422,0.00021091,0.0001642234,0.0007684405,0.05941644,0.00005014781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8275853,0.0384902,0.000355444,0.09878098,0.0008494562,0.0001678449,0.000981446,0.00002862519,0.03276066],"genre_scores_gemma":[0.9033164,0.07136302,0.0009706175,0.01342371,0.0002647338,0.0001027288,0.0007125428,0.00003169499,0.009814517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196741,"threshold_uncertainty_score":0.1485357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304821578331322,"score_gpt":0.3414674283961819,"score_spread":0.3084192126128687,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}